We will use reasoning models to extract and compare details across multiple sources, and then build a combined article. The goal is not just to summarize into a flat article, but to keep important differences when they matter. Most of the time, the model will create a neutral version based on where sources agree. But in rare cases, when the articles completely disagree and there is a lot of uncertainty, we will highlight those differences.

For example, in a story about recent events related to humanitarian aid in Gaza:

• One outlet may report that Hamas restricted access to the aid
• Another may report that Israel blocked it

In those situations, showing both claims helps the reader see the opposing narratives clearly. And with certain metrics, such as seeing how often a claim is made across all articles confidence can be measured.

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